| dc.contributor.author | Qureshi, Muhammad Hamza Reg # 27156 | |
| dc.contributor.author | Khan, Kashif Reg # 27130 | |
| dc.contributor.author | Bilal, Muhammad Reg # 27152 | |
| dc.contributor.author | Khan, Muhammad Shayan Reg # 27167 | |
| dc.date.accessioned | 2023-03-14T06:32:46Z | |
| dc.date.available | 2023-03-14T06:32:46Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/15184 | |
| dc.description | Supervised by Dr. Raheel Siddiqui | en_US |
| dc.description.abstract | Make and Model Recognition (MMR) of cars is an interesting area ofresearch and the technology can be usefully exploited by law-enforcement agencies, surveillance and traffic-monitoring systems, self-guided vehicle systems etc. MMR is a subfield of vehicle analysis which also includes License Plate Recognition (LPR) and Vehicle-Type Classification (VTC). Example of a possible MMR application is electronic tollgate where toll is collected on the basis of the car’s make and model. Deep learning techniques can be applied to tackle this problem | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSCS;MFN BSCS 178 | |
| dc.title | FINE-GRAINED MAKE AND MODEL RECOGNITION (MMR) OF CAR | en_US |
| dc.type | Project Reports | en_US |